#!/usr/bin/env bash

# Train and test STAViS audiovisual models for all splits

base_path='./experiments'

split=1

python main.py --gpu_devices 1 --batch_size 16 --n_threads 2 \
    --pool_layer tempSE \
    --explain "temporal se pool" \
    --no_test \
    --audiovisual "" \
    --checkpoint 10 --n_epochs 10 \
    --root_path ${base_path} --result_path visual_split1_tempSE \
    --pretrain_path ./data/pretrained_models/resnet-50-kinetics.pth  \
    --audio_pretrain_path ./data/pretrained_models/soundnet8.pth \
  	--annotation_path_coutrot1_train ./data/fold_lists/Coutrot_db1_list_train_${split}_fps.txt \
  	--annotation_path_coutrot1_test ./data/fold_lists/Coutrot_db1_list_test_${split}_fps.txt \
  	--annotation_path_coutrot2_train ./data/fold_lists/Coutrot_db2_list_train_${split}_fps.txt \
  	--annotation_path_coutrot2_test ./data/fold_lists/Coutrot_db2_list_test_${split}_fps.txt \
  	--annotation_path_summe_train ./data/fold_lists/SumMe_list_train_${split}_fps.txt \
  	--annotation_path_summe_test ./data/fold_lists/SumMe_list_test_${split}_fps.txt \
  	--annotation_path_etmd_train ./data/fold_lists/ETMD_av_list_train_${split}_fps.txt \
  	--annotation_path_etmd_test ./data/fold_lists/ETMD_av_list_test_${split}_fps.txt \
  	--annotation_path_avad_train ./data/fold_lists/AVAD_list_train_${split}_fps.txt \
  	--annotation_path_avad_test ./data/fold_lists/AVAD_list_test_${split}_fps.txt
